Solution Architect

About Exponentia.ai

Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.

Awards & Recognitions:

• Innovation Partner of the Year – Databricks, 2024
• Digital Impact Award, UK – 2024 (TMT Sector)
• Rising Star – APJ Databricks Partner Awards 2023
• Qlik’s Most Enabled Partner – APAC

With a team of 450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.

Learn more: www.exponentia.ai

About the Role:

We are seeking a Solution Architect – Data & AI to lead and shape enterprise-scale data, analytics, and AI transformation programs. This is a senior leadership role that blends deep technical architecture, business strategy, and consulting advisory.

You will operate at the CIO/CTO/CDO/Head of Data level, defining target architectures, steering multi-year transformation roadmaps, and ensuring that data & AI investments deliver measurable business and financial impact.

You will be responsible for envisioning, designing, and governing cloud-native data ecosystems, AI platforms, and intelligent analytics solutions while guiding large multi-disciplinary teams across engineering, analytics, and AI.

The ideal candidate is a hands-on architect with strong enterprise experience, deep cloud expertise, and a track record of leading large-scale digital transformation programs.

Key Responsibilities

Enterprise Data & AI Leadership

• Own and drive the enterprise Data & AI vision, strategy, and multi-year roadmap.
• Lead current-state assessments and define future-state architectures for data platforms and AI ecosystems.
• Define reference architectures for:
  • Cloud data platforms
  • Lakehouse and real-time analytics
  • AI/ML and GenAI platforms
  • Intelligent automation and AI agents
• Advise leadership on technology investments, vendor strategy, build vs buy decisions, and platform selection.

Solution Architecture & Design

Architect end-to-end enterprise solutions including:

• Cloud data platforms (Azure, AWS, Databricks, Snowflake, Microsoft Fabric)
• Enterprise data lakes, lakehouses, and modern warehouses
• Streaming, event-driven, and real-time analytics architectures
• Data governance, security, and compliance frameworks
• AI/ML platforms, MLOps, and GenAI/AI agent architectures

Ensure solutions are designed for:

• Scalability
• Performance
• Cost optimization
• Reliability
• Regulatory compliance

Define:

• Data models and integration patterns
• Security architecture and governance guardrails
• Standardized engineering best practices across programs

Executive Consulting & Stakeholder Leadership

• Act as a trusted advisor to CXOs, VPs, and Heads of Data/Analytics.
• Lead architecture workshops, design reviews, and strategic discovery sessions.
• Present architecture blueprints, business cases, and implementation plans to leadership.
• Bridge business strategy with technical execution across multiple teams and vendors.

Program & Delivery Governance

• Provide technical leadership to large, multi-year transformation programs.
• Guide and mentor teams including:
  • Data Engineers
  • Analytics Engineers
  • Platform Engineers
  • AI/ML Engineers
  • BI & Visualization teams
• Define architectural guardrails and review key design decisions across programs.
• Ensure adherence to best practices in data engineering, analytics, and AI delivery.

Innovation & Practice Leadership

• Drive innovation using:
  • GenAI
  • AI agents
  • Automation
  • Advanced analytics
• Build reusable frameworks, architecture patterns, and accelerators for the practice.
• Mentor and develop senior architects and technical leads.
• Represent Exponentia.ai in client forums, conferences, and thought leadership engagements.

Skills Required

Technical Architect, Solution Design, Solution Architecting, Cloud, GenAI, Databricks, Etl / Elt, Data Governance,

Role

Ideal Candidate Profile

• 8+ years of experience in:
  • Enterprise Data Architecture
  • Cloud Architecture
  • Analytics & AI Architecture
• Proven experience leading large-scale cloud data transformations using:
  • Azure / AWS
  • Databricks / Snowflake / Microsoft Fabric
• Strong expertise in:
  • Data lakes, lakehouses, and data warehouses
  • ETL/ELT, streaming, and real-time data
  • Data governance, security, and compliance
  • AI/ML architecture, MLOps, and GenAI pipelines
  • Demonstrated experience engaging with C-suite stakeholders.
  • Strong leadership, communication, and consulting skills.

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, or related field.
• Cloud certifications (Azure, AWS, Databricks preferred).
• Hands-on experience with GenAI and AI agent architectures.
• Experience in consulting organizations or digital transformation firms.
• Experience in Agile, DevOps, and MLOps delivery models.

Why Join Exponentia.ai?

• Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
• Shape the Practice: Build a marquee capability from the ground up with full ownership
• Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
• Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
• Continuous Growth: Access to certifications, tech events, and partner-led innovation labs
• Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

Ready to build the future of AI with us?

• Apply now and become a part of a next-gen tech company that’s setting benchmarks in enterprise AI solutions.

Education/Qualification

Btech, BE, MCA, BCA

Job Code

10783

Designation

Solution Architect